Artificial intelligence at work (tham khao).pdf

Future of
Work Report
AI at Work
August 2023

2
Executive summary 3
The intersection ofAI and the world of work 4
Acceleration ofAI skills across industries and geographies 7
Executive and employee sentiment 12
Generative AI is starting to change the way we work 15
Engage on LinkedIn to build AI confidence 20
Methodology and credits 25
Table of contents:

3
Executive summary
We believe the evolution of work in the age of AI is important to
understand, which is why we’ve released this Future of Work Report: AI
at Work. This quarterly report is designed to help both professionals and
business leaders understand what’s happening. We believe every profes-
sional and business leader can find something meaningful to help you
navigate these changes. In big or small ways, our unique labor market
insights, taken in aggregate from more than 950 million professionals on
LinkedIn, cover three main areas:
The intersection of AI and the world of work: Not only are job postings
increasing, but we’re seeing more LinkedIn members around the globe
adding AI skills to their profiles than ever before.We’ve seen a 21x increase
in the share of global English-language job postings that mention new
AI technologies such as GPT or ChatGPT since November 2022. In June
2023, the number of AI-skilled members was 9x larger than in January
2016, globally.
The state of play of Generative AI (GAI) in the workforce: GAI technolo-
gies, including ChatGPT, are poised to start to change the way we work.
In fact, 47% of US executives believe that using generative AI will increase
productivity, and 92% agree that people skills are more important than
ever. This means jobs won’t necessarily go away but they will change as
will the skills necessary to do them.
LinkedIn’s role in helping navigate an AI-driven world: We’re here to help
professionals upskill, and use AI-assisted products to help jobseekers,
hirers, marketers, sellers, and thought leaders embrace AI at work.
Professionals can engage with AI top voices on LinkedIn, share and
explore knowledge from thought leaders, find AI-related jobs and upskill
where you need to through LinkedIn Learning.
Over time, and in future reports, we’ll provide regular updates to our in-
sights and expand on other topics transforming the future of work. LinkedIn
is in a singular position to help the world’s professionals take advantage of
the opportunity to not only shape this new era, but benefit from it.

4
The intersection of AI
and the world of work

5
5
We’re seeing an increased focus on AI at work on our platform in a variety of ways,
including in the job listings hirers are posting, the skills our members are adding to
their profiles, and in the everyday conversations people are having with each other.
While AI is not new, the launch of ChatGPT in November 2022 led to a meteoric rise
of interest in and conversation around AI, and more specifically in GAI1
on LinkedIn.
Job postings referencing new AI technologies also are climbing rapidly: The share
of global English-language job postings mentioning GPT or ChatGPT increased
21x since November 2022. Professionals and businesses are starting to embrace
AI-assisted technologies, such as ChatGPT, in their daily work and adapt their
processes. Investments in learning how GAI can drive efficiencies and reduce time
spent on routine tasks can prove to be a productivity win-win for employers and
employees alike.
47% of US executives believe that “using generative AI will increase
productivity”, 44% plan to increase their use of AI at their organization in
the next year, and 40% think that using generative AI will help unlock
more growth/revenue opportunities in the next year.
Source: LinkedIn US Executive Confidence Index Survey, June 2023
1. Generative AI Keywords: GPT, ChatGPT, Generative AI, Generative Pre-Trained Transformer
Since earlyApril, the number of LinkedIn
member posts mentioning GAI keywords in
the US has increased 25% month over month.
25%
15x
75%
In June, members added these keywords
to their profiles 15x more frequently than
in January.
Since the start of the year, we’ve seen on
average a 75% increase each month in
members worldwide adding terms like “GAI,”
“ChatGPT,”“Prompt Engineering,” and
“Prompt Crafting,” to their profile.
Member profiles and job postings
GAI keywords

6
6
To prepare for the changes AI and GAI are bringing to the world of work and to speed
adoption of AI tools, employers will need to focus on upskilling and reskilling profes-
sionals to boost AI literacy.When it comes to AI talent, some of the fastest growing
AI-specific skills added to LinkedIn profiles globally in 2022 were tied to GAI, such as
question answering and classification.
The uptick in members’ skills, employers’ job postings, and platform conversations
indicates that competition is intensifying to hire talent to fill specialized AI roles. Since
many of these roles are brand new and no existing degree completely satisfies the
role, filling them will require an increased emphasis on hiring for skills. Businesses will
need to thoroughly understand the skills they have and the skills they need, so they
can hire candidates with the right skills and direct upskilling efforts for current em-
ployees appropriately.
Companies that focus on skills and shift away from more antiquated
signals like degree, pedigree, or where someone worked previously, will
be able to ensure they have the right people with the right skills, in the
right roles, doing their best work. And it doesn’t stop there. Once you
have those employees in the right roles with the right skills, it’s equally
important to continue investing in their career progression and skills.
Ryan Roslansky, Chief Executive Officer, LinkedIn, Fortune, March 20, 2023
“
”
In 2022, the five fastest-growing AI-related skills added
to LinkedIn member profiles, were all skills hinting at the
emergence of GAI:
Question Answering: +332%
Classification: +43%
Recommender Systems: +40%
ComputerVision: +32%
Natural Language Processing (NLP): +19%
3x
In the last five years, the number of US
LinkedIn members in “Head of AI” roles
has nearly tripled.

7
Acceleration ofAI skills across
industries and geographies

8
The rise of AI talent and members adding AI skills has been accelerating since
2016. With the launch of ChatGPT we are seeing the promise of AI and how it’s re-
shaping the skills required at work and at the same time helping people become
more productive. An analysis of how AI skills are diffusing across 25 countries shows
that the pace at which LinkedIn members added AI skills to their profiles nearly
doubled since the launch of ChatGPT, rising from 7.7% (May–November 2022) to
13% (November 2022–June 2023).
LinkedIn’s new AI Skills Index offers a unique look at how AI skills are being ad-
opted across geographies and industries. Tracking the speed and direction of AI
skills as they spread throughout the global economy gives us a sharper read on how
quickly and in what ways we can expect the workplace to transform.
LinkedIn’s AI Skills Index shows the speed at which members are adding AI skills
to their profiles across industries and countries. For example, a country that has
an index of 10 in June 2023, means its share of members with at least two AI
skills has grown by 10x since January 2016.
How we define AI skills in LinkedIn’s skills taxonomy: There are 38,000 skills in
LinkedIn’s skills taxonomy, of which 121 are considered AI skills, including ma-
chine learning, natural language, and deep learning.2
How we define AI talent: Members who are employed in an AI-related job or
with at least one AI skill.
Understanding LinkedIn’s AI Skills Index
In 2016, only 3 out of every 1,000 members could
be considered AI talent. By 2022, that number
had increased to 17 in 1,000 (based on the
median share of AI talent across 25 countries).
2016
2022
3 out of every 1,000
17 out of every 1,000
2. See methodology page 27 for full details.

9
We’re seeing more LinkedIn members around the globe adding AI skills to their pro-
files than ever before. Based on AI Skills Index data from 25 countries, by June 2023,
the number of AI-skilled members was 8x larger than in January 2016.
The index shows that Singapore, Finland, Ireland, India, and Canada are experi-
encing the fastest rate of AI skills diffusion. We’re also seeing the adoption of AI skills
extend beyond tech to a range of industries, including retail, education, financial
services, and many others.
To realize the full promise of AI productivity gains depends on the dif-
fusion of skills across geographies, industries, and talent. AI adoption
and optimization of its use will of course take time, but at this early
stage it appears that the pace of diffusion is getting underway. The
brightest global economic outcome is one where innovation can scale
borders and boost productivity growth for all.
“
”
Karin Kimbrough, Chief Economist, LinkedIn

10
Geographic snapshot
As of June 2023, Singapore has the highest diffusion rate over time
(20x); in other words, the share of members who have added AI skills
to their profiles is 20x as compared to January 2016. Finland (16x),
Ireland (15x), India (14x), and Canada (13x) round out the top five
countries with the highest rates of AI skills diffusion. LinkedIn’s AI Skills
Index shows that the share of AI-skilled members in June 2023 is
9x as compared to 2016.3
3. Median value across 25 countries used for comparison
AI Skills Index across countries
25
20
15
10
5
1/1/16 1/1/18 1/1/20 1/1/22
AI
Skills
Index
Argentina
Australia
Belgium
Brazil
Canada
Denmark
Finland
France
Germany
Greece
India
Ireland
Israel
Italy
Mexico
The Netherlands
Poland
Portugal
Singapore
Spain
Sweden
Switzerland
Turkey
United Kingdom
United States

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Consumer
Services
Education
Financial
Services
Government
Administration
Hospitals and
Health Care
Manufacturing
Professional
Services
Retail
Technology,
Information,
and Media
Wholesale
30
20
10
1/1/16 1/1/18 1/1/20 1/1/22
Industry snapshot
As might be expected, in the US, Technology, Information, and Media
have the largest share of AI-skilled members (2.2%); while small,
this is still well above other industries such as such as Education
(1.2%), Professional Services (0.9%), Financial Services (0.9%), and
Manufacturing (0.8%). However, other industries are quickly catching
up. When we look at the speed at which members are adding AI skills
to their profiles, we see that professionals in Financial Services (30x),
Retail (29x), and Wholesale (24x) are pivoting toward AI faster than in
Technology, Information, and Media (11x).
Across 10 US industries, Financial Services stands out as the only
industry in which the share of members with AI skills and the speed
at which they are adding AI skills to their profiles is above that of the
average industry. This is an example of how industries beyond Tech
have the potential to be not only early adopters but drivers of
AI innovation.
AI
Skills
Index
AI Skills Index across industries (United States)

12
Executive and
employee sentiment

13
13
AI is ushering in a new era of work that will impact jobs, careers, and industries.
People are looking for answers about how work will change and what they can do to
be in control of their careers. Professionals and companies are coming together on
LinkedIn to ask and discuss questions about how AI will shape the future.
Point of view from the C-suite
LinkedIn’s Executive Confidence Index delves into how C-suite and senior execu-
tives feel about changing workplaces, with a focus on business outlook, talent, and
new technologies, including AI. The June 2023 results uncovered that US execu-
tives have a positive outlook on their overall business when it comes to their ability
to drive profit and invest in future growth, despite lingering uncertainty around the
macroenvironment. On the talent front, US executives express less confidence about
attracting and retaining workers, and they see room for improvement in terms of
developing talent. When it comes to AI, our data shows that senior executives are
mostly optimistic that the technology will provide productivity and revenue enhanc-
ing benefits, even if it’s unclear how AI will transform their organization over the
long term.
While we’re in the early days, AI is already accelerating noticeable shifts across the
workforce that are spurring professionals and companies to adapt. Companies that
embrace AI and support upskilling to help professionals adapt to and benefit from
changes will have the most success attracting — and keeping — top talent.
The potential of AI: Navigating the excitement and the unknowns of US executives are excited about AI advance-
ments, but do not yet know how their organization
will leverage AI tools and skills.
of US executives agree that “using GAI will
increase productivity.”
of US executives agree that they are planning to
increase their use of AI at their organization in
the next year.
of US executives also agree that using
GAI will help unlock more growth and revenue
opportunities in the next year.
Currently, only 4% of executives plan to reassess
roles and reduce headcount as an impact of AI
on their workforce.
51%
47%
44%
40%
4%

14
14
Trepidation is normal with any technological change, and AI is no exception.
That said, we’re seeing mostly excitement from professionals about how these tools
can help improve their productivity and reduce their workloads. According to
Microsoft’s 2023 Work Trend Index Annual Report, a large majority of people (70%)
would delegate as much work as possible to AI to lessen their workloads.
Point of view from professionals
Not only did 3 in 4 people share that they would be
comfortable using AI for administrative tasks (76%),
but most people also said they would be comfortable
using it for analytical (79%) and even creative work (73%).
People are also looking for AI to assist with finding
the right information and answers they need (86%),
summarizing their meetings and action items (80%),
and planning their day (77%).
Source: 2023 Microsoft Work Trend Index Annual Report
Ultimately, when we talk about AI’s impact on work, what we are really
talking about is how people will adopt these tools and continue to
strengthen the people skills that complement them.
“
”
Karin Kimbrough, Chief Economist, LinkedIn

15
GAI is starting to change
the way we work

16
GAI is reshaping the global workforce: A comparative look at the
potential effect of generative AI on the workforce
While AI skills generally are accelerating across industries and geographies, we’re
also seeing GAI, such as ChatGPT, start to make its way into the world of work. As
companies and organizations incorporate these new technologies into their daily
operations, it will reshape our everyday jobs. GAI will reduce the time spent on some
tasks and usher in new skills, while also raising the importance of people skills.
Almost every job requires skills that can be performed by GAI, but not every job is
affected in the same way. According to research from LinkedIn’s Economic Graph
Research Institute, 84% of US members are in jobs that could leverage GAI to auto-
mate at least a quarter of repetitive tasks and increase productivity. While GAI will
reduce the time professionals spend on some skills, such as writing or data analysis,
its influence isn’t limited to reducing routine work. GAI will also drive up demand for
other skills, especially people and specialized skills. For example, GAI might lead
a language translator to shift their focus from doing literal translations to reviewing
and certifying machine-generated translations, or specializing on specific legal or
literary content.
LinkedIn researchers identified a list of over
500 skills likely to be affected by GAI technol-
ogies, including these skills that are among the
most frequently featured by members:
Communication and media: Writing, Editing,
Documentation,Translation, Content Creation
Business and industry: Financial Reporting,
Email Marketing, Data Analysis
Engineering: Software Development Tools,
Programming Languages, Data Science
People: Time Management Tools

17
Understanding GAI
GAI is a fast-growing technology with
the potential to perform tasks that,
in the past, only humans could do
— like writing, creating content, and
analyzing data.
New GAI tools present an opportunity
to potentially lighten workloads and
help professionals, like teachers, focus
on the most important parts of their job.
To better understand this, we analyzed
some of the most common occupations
on the platform (representing nearly 1
in 5 US members) based on LinkedIn’s
data.This is a look at how GAI can
potentially transform productivity at
these jobs by identifying which skills
can be augmented by GAI and which
ones can only be done by people.
Occupation Share of skills
potentially
augmentable
by GAI
Top skills potentially augmentable by GAI: Top
skills that could be partly performed by GAI-
assisted software
Top people skills and specialized skills: Top skills that need to be
performed by humans, and that complement skills potentially
augmented by GAI
Share of people
skills and
specialized skills
Teacher 45% Lesson Planning, Curriculum Development,Teacher
Training, Literacy,Tutoring
Classroom Management, Differentiated Instruction, Elementary
Education, Educational Technology, Special Education
53%
Software
Engineer
96% Jenkins, Docker Products, AngularJS,TypeScript, Git Jira, Agile Methodologies, Microsoft Azure 3%
Nurse 6% Patient Care, Quality Patient Care, Patient
Assessment
Advanced Cardiac Life Support (ACLS), Nursing, Basic Life Support
(BLS), Acute Care, Critical Care Nursing
90%
Salesperson 59% Cold Calling, Retail Sales, Outside Sales, Sales
Processes, Inside Sales
Stocking, Hospital Sales, Cardiology, Endocrinology, Medical Sales 15%
Project Manager 28% Scrum, Submittals, Software Development Life
Cycle (SDLC), Agile Methodologies, Agile Project
Management
Construction Management, Project Estimation, Pre-Construction,
Value Engineering, Change Orders
44%
Customer
Service Rep
76% Phone Etiquette,Typing, Customer Support Warranties, Food and Beverage Operations, Stocking, Hospitality
Service, Dispatching
4%
Driver 9% Warehouse Operations, Logistics Management,
Freight Transportation Planning
Truck Driving, Professional Driving, CDL Class A, CDL, Commercial
Driving
88%
Medical Doctor 7% Medical Research, Cancer, Heart Disease Medical Education, Internal Medicine, Surgery, General Surgery,
Family Medicine
63%
Cashier 59% Food Service Planning, Merchandising Stocking, Fast Food, Waiting Tables, Food and Beverage Operations 22%
Childcare
Provider
20% Lesson Planning,Tutoring Childcare, Working with Children, Babysitting, Child Development,
Nannying
76%
Environmental
Health Safety
Specialist
3% Risk Assessment, Root Cause Analysis, Geographic
Information Systems (GIS)
Environment, Health, and Safety (EHS), Accident Investigation,
Occupational Health, Industrial Hygiene, Environmental Compliance
70%
Event Manager 39% Event Marketing, Hospitality Management,
Catering Planning, Virtual Events
Corporate Events, Event Production, Special Events, Meeting
Planning, Private Events
44%
Construction
Specialist
11% Construction Drawings, Submittals, Revit Construction Management, Construction, Flooring, Construction
Safety, Pre-Construction
78%
Oil Field
Operator
1% Project Commissioning, Preventive Maintenance
Planning
Oil and Gas Drilling, Rig, Oilfield, Well Control, Directional Drilling 89%
Note: Percentages may not add up to 100% due to some skills not falling under these categories.

18
GAI brings mixed feelings of uncertainty
and excitement. The capabilities and
efficiencies unlocked by GAI will undoubt-
edly affect all of our jobs in some way. In
fact, as we found in our June 2023 US
Executive Confidence Index, only 4% of
executives plan to reassess roles and
reduce headcount as an impact of AI on
their workforce.
To better understand this we examined
how GAI could start to impact three
occupations — teachers, software engi-
neers, and construction specialists.
Teachers
45% of teacher skills support tasks
where GAI could enable greater pro-
ductivity (ex: lesson planning, curricu-
lum development, teacher training).
More than half of a teacher’s job in-
volves people skills such as working
directly with students, which are unlike-
ly to be replaced by GAI.
Areas where teachers might benefit
from GAI’s support: classroom man-
agement, differentiated instruction,
special education.
Software engineers
Most software engineers spend a lot of
time writing code in different programming
languages, which is why 96% of software
engineers’ skills may be augmented by GAI,
leading to significant productivity gains
(ex: programming, coding, and technical
abilities).
People skills and specialized skills comple-
ment an engineer’s technical work. For exam-
ple, as software engineers spend less time
writing code, they can focus more on other
parts of their jobs, including those that involve
Agile methodologies, Microsoft Azure, and
Jira (a tool for tracking workflow progress and
communicating effectively with key stake-
holders), which are critical to their success.
These types of skills represent almost 3% of
the skills engineers use every day.
One of the key areas where software en-
gineers might benefit from GAI’s support:
communicating more effectively with techni-
cal and nontechnical audiences.
Construction specialists
Only 11% of construction specialists’
skills may be augmented by GAI (ex:
construction-related drawing, Revit
software).
The job largely requires specialized
skills (78%), such as construction man-
agement, flooring, and construction
safety.
One of the key areas where construc-
tion specialists can leverage GAI:
performing repetitive tasks like permit
submittals.
Understanding GAI

19
People skills are becoming more critical than ever. In fact, since the launch of
ChatGPT, some of the fastest-growing skills in job postings in the US are people
skills, such as flexibility and ethics. This demonstrates how people skills are at the
heart of jobs and how we come together to collaborate at work.
92% of US executives agree that people skills are more
important than ever.
Source: LinkedIn US Executive Confidence Index Survey, June 2023
In the US, communication remains the top skill demanded
across all job postings.
In the US, the fastest-growing in-demand skills
since November 2022 are:
Flexibility +158%
Professional ethics +120%
Social perceptiveness +118%
Self-management +83%

20
Engage on LinkedIn
to build AI confidence

21
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AI may still feel like a buzzword to many. While it is early days, engaging with AI at
work is quickly becoming the norm, as businesses start to look to integrate GAI into
everyday work. The meteoric rise of AI skills and AI-related roles demonstrate that
more people are taking advantage of this opportunity to position themselves at the
forefront of this emerging technology.
Analyzing how employers and professionals interact on LinkedIn provides valuable
insights on how AI is starting to influence work— from which AI skills are growing
and in which industries, to the pace of AI skills adoption, to how AI is transforming
what employers are looking for.
Job seekers, hirers, marketers, and sellers are engaging in diverse ways to share
knowledge about AI, to upskill, to find top AI talent, and to leverage the power of
LinkedIn’s learning, recruiting, sales, and insights products to unlock new opportuni-
ties and growth. We’ve had AI-assisted products for more than 15 years, and we are
continually introducing new ones into the market to help job seekers, hirers, market-
ers, sellers, and thought leaders embrace AI. Inspired by, and aligned with, Microsoft’s
leadership in responsible AI, we’ve shared the Responsible AI Principles that we use
at LinkedIn to guide our work. Our principles serve as the true north for our responsi-
ble use of AI as a tool to help members achieve their goals and accelerate progress
toward economic opportunity for all.
Use our AI products and tools to share knowledge, upskill and
find talent
In the past five years, the number of
US companies that have a Head of AI
position has increased 2.6x.
2.6x

22
We’ve heard from members that capturing their professional identity in a
succinct way is a tall order. That’s why we’re testing personalized writing
suggestions for profiles and messaging on LinkedIn. On profiles, the tool
uses content already on a member’s profile, such as recent experience, to
showcase their skills in the best way possible through crafted Headline and
About sections.
In suggested messaging, personalized writing suggestions help solve the
blank page problem using information from the job seeker’s public profile
and the job description — including identity of the hiring manager, the
hiring manager’s profile, and the hiring company — to create a customized
draft message for the job seeker to get a conversation started. This is cur-
rently being tested with Premium members and is expected to roll out more
broadly in the coming months.
We know that 75% of hirers expect that GAI can free up time for more stra-
tegic work and two-thirds (67%) hope that GAI can help them uncover new
candidates. That’s why we’re testing things like AI-assisted messages and
AI-assisted job descriptions to help hirers source qualified candidates more
quickly and free up time for the more strategic parts of their hiring process —
like speaking to and building relationships with candidates.
When recruiters personalize InMails, they see an overall 40% increase in
acceptance rates. But manually researching each candidate and person-
alizing every message is nearly impossible to do at scale. That’s why we’re
rolling out AI-assisted messages in LinkedIn Recruiter to help hirers start
personalized messages, so they can save time, increase candidate engage-
ment, and spend more time building meaningful connections, which are
skills only people can do.
We also know that writing a job description can be a time-consuming and
painful task, particularly if you’re struggling to attract the right candidates.
That’s why we’re testing a new AI-assisted job description tool that will make
it faster and easier to write job descriptions.
Opportunities for hirers
Opportunities for job seekers
Here’s how LinkedIn creates economic opportunity:

23
Our market research helps keep the pulse on what sales and marketing professionals can
do to stay productive and strategic as they sell, and what they can do to help buyers see
the commercial value of their companies. What we found in our latest surveys shows the
relevance of GAI in many daily tasks already — from writing copy to sending outreach
emails. Beyond the GAI tools of today, there’s strong interest from sales and marketing
professionals in using even more automation and AI tools to get their work done and
become the most effective at their work.
Our data shows that 69% of sales professionals expect their use of AI to increase in the next
six months4
. We also know that about 59% of skills among sellers and marketers will be
impacted by GAI. Given the opportunity this provides to help empower sellers and market-
ers, we’ve examined the most critical tasks that enable their success, and we are building
functionality into our Campaign Manager and Sales Navigator products.
These tasks range from building effective campaigns, to finding the best leads to target
with the highest chance of responses, to researching key company priorities for execu-
tive-level conversations. LinkedIn Campaign Manager and Sales Navigator will help
sellers and marketers do these tasks even faster than they can today, so they can focus on
the human aspects of selling and marketing that are so important: identifying the right
buyers, deeply understanding customer motivations, and building relationships that lead
to consideration of products and closed deals.
Opportunities for marketers and sellers
4.
LinkedIn Macroeconomic Pulse Survey of Decision Makers, April - June 2023. Question: Within the next 6 months, how do you
expect your sales organization’s use of generative AI to change? Generative AI is a type of artificial intelligence technology that
can be used to create new content, including text, audio, image, and video.Total, N=1569.

24
We added over 30 GAI courses and many more rolling out over the coming
year, including:
• What Is Generative AI? by Pinar Seyhan Demirdag
• Introduction to Prompt Engineering for Generative AI by Ronnie Sheer
• Introduction to Conversational AI by Ian Barkin
• Generative AI for Business Leaders by Tomer Cohen
And we have experts in the field sharing their knowledge about AI. Follow,
engage with, and learn from top AI voices, such as Bernard Marr, Cassie
Kozyrkov, Greg Coquillo, Morgan Cheatham, Allie Miller, and Tomasz
Tunguz. Check out our recent editorial coverage, including more top voices to
follow, on what the rise of AI means for workers and how it’s already changing
key industries.
At LinkedIn, we are uniquely positioned to understand what is top of mind for
business leaders and professionals, and how they’re approaching AI. We have
only just begun to understand the potential for AI to transform the way we work,
the way we learn, and the way we interact with others. It’s an exciting time of
change, and we look forward to discovering and sharing future analyses of AI’s
impact on work.
Opportunities for everyone
Unlocking the roughly 10 billion years worth of knowledge that exists within
our collective members can help tackle common work problems.With collab-
orative articles, ourAI-assisted conversation starters that brings together the
insights and perspectives of members with knowledge topics published by
LinkedIn, we are unlocking the collective knowledge of our members to spark
conversation, learning, and connections.
The skills required for many jobs have changed by a staggering 25% since
2015, with that number expected to reach at least 65% by 2030 due to the
rapid development of new technologies like AI.We understand the impor-
tance of keeping your skills up to date, which is why we have over 300 AI
courses within LinkedIn Learning and we partnered with Mircosoft to launch
the world’s first Professional Certificate on Generative AI — available on
LinkedIn Learning, and free through 2025.Whether you’re just starting out in
your career, a seasoned professional, or a business leader looking to stay on
top of the latest advancements, our courses are designed to help you learn
new skills that can boost your productivity and accelerate your career growth.

26
1. The AI Skills Index value measures how much the share of members with at least
2 AI skills on their profiles has increased, compared to the level in January 2016.
For example, a value of 3x means the share of members with AI skills is 3x higher
than as compared to January 2016. The metric helps us understand the pace at
which members are adopting AI skills, or the pace at which AI skills are diffusing
in a given country, industry, etc.
2.
AI Skills Index is available at the country level for the following 25 countries:
Argentina
Australia
Belgium
Brazil
Canada
Denmark
Finland
France
Germany
Greece
India
Ireland
Israel
Italy
Mexico
Netherlands
Poland
Portugal
Singapore
Spain
Sweden
Switzerland
Turkey
United Kingdom
United States
3.
Country data available at the industry levels is subject to liquidity to ensure
data quality as well as to preserve the privacy of our members.
4.
Unless otherwise mentioned, latest data from June 2023 is utilized throughout
this analysis.
5.
LinkedIn members self-report their skills on their LinkedIn profiles. Current-
ly, more than 38,000 distinct, standardized skills are identified by LinkedIn.
These have been coded and classified by taxonomists at LinkedIn into 249 skill
groupings, which are the skill groups represented in the dataset. The top skills
that make up the AI skill grouping are machine learning, natural language
processing, data structures, artificial intelligence, computer vision, image pro-
cessing, deep learning, TensorFlow, Pandas (software), and OpenCV, among
others.
AI Skills Index

27
We track the following 121 AI skills:
3D Reconstruction
Alexa
Algorithm Analysis
Algorithm Development
Artificial Intelligence (AI)
Artificial Neural Networks
Association Rules
Audio Synthesis
Autoencoders
Automated Clustering
Automated Feature Engineering
Automated Reasoning
Autoregressive Models
Caffe
Classification
Cognitive Computing
Common Lisp
Computational Geometry
Computational Intelligence
Computational Linguistics
Computer Vision
Concept Drift Adaptation
Conditional Image Generation
Convolutional Neural Networks (CNN)
Data Structures
Deep Learning
dSPACE
Evolutionary Algorithms
Expert Systems
Facial Recognition
Feature Extraction
Feature Selection
Fuzzy Logic
Gaussian 03
Generative Adversarial Imitation Learning
Generative Design Optimization
Generative Flow Models
Generative Modeling
Generative Neural Networks
Generative Optimization
Generative Pre-Training
Generative Query Networks (GQNs)
Generative Replay Memory
Generative Synthesis
Gesture Recognition
Graph Embeddings
Graph Networks
Graph Theory
Hyperparameter Optimization
Hyperparameter Tuning
IBM Watson
Image Generation
Image Inpainting
Image Processing
Image Synthesis
Information Extraction
Information Retrieval
Intelligent Agents
Jena
Julia (Programming Language)
Keras
Knowledge Discovery
Knowledge Representation and Reasoning
Linked Data
Lisp
Machine Learning
Meta-learning
Microsoft Azure Machine Learning
Model Compression
Model Interpretation
Model Training
Music Generation
Natural Language Generation
Natural Language Processing (NLP)
Natural Language Understanding
Neural Network Architecture Design
Neural Networks
NLTK
Object Recognition
Ontologies
OpenCV
Pandas (Software)
Parallel Algorithms
Parsing
Pattern Recognition
Perl Automation
Probabilistic Generative Models
Probabilistic Programming
Prompt Engineering
PyTorch
Question Answering
RapidMiner
Recommender Systems
Reinforcement Learning
Resource Description Framework (RDF)
Scikit-Learn
Semantic Technologies
Semantic Web
Sentiment Analysis
Smalltalk
Speech Recognition
Statistical Inference
Style Transfer
Supervised Learning
Support Vector Machine (SVM)
Synthetic Data Generation
TensorFlow
Text Analytics
Text Classification
Text Generation
Text Mining
Text-to-Image Generation
Thean
Time Series Forecasting
Unsupervised Learning
Variational Autoencoders
Variational Autoencoders (VAEs)
Video Generation
Web Mining
Weka
WordNet

28
28
LinkedIn’s Workforce Confidence Index is based on a quantitative online survey distributed to
members via email every two weeks. Roughly 3,000 to 5,000 US-based members respond to
each wave. Members are randomly sampled and must be opted into research to participate.
Students, stay-at-home partners, and retirees are excluded from analysis so we can get an ac-
curate representation of those currently active in the workforce.We analyze data in aggregate
and will always respect member privacy. Data is weighted by engagement level to ensure fair
representation of various activity levels on the platform.The results represent the world as seen
through the lens of LinkedIn’s membership; variances between LinkedIn’s membership and the
overall market population are not accounted for.
LinkedIn Executive Confidence Index is an online survey taken by roughly 5,000 LinkedIn mem-
bers (at the VP-level or above) every quarter. Members are randomly sampled and must be opted
into research to participate.We analyze data in aggregate and will always respect member
privacy. Data is weighted by Seniority and Industry to ensure fair representation of executives on
the platform.The results represent the world as seen through the lens of LinkedIn’s membership;
variances between LinkedIn’s membership and the overall market population are not accounted
for.
LinkedIn Macroeconomic Pulse Survey of Decision-Makers is a non-blinded survey conducted
among 1,569 sales decision-makers from June 14 to June 30, 2023. Includes both Sales Naviga-
tor customers and non-customers.
Head of AI Roles: We searched members’ job titles for the keywords “AI,”“Artificial Intelligence,”
or“Machine Learning” coupled with the keyword “Head,” or LinkedIn’s standardized seniority
levels “Director,”“VP,” and “CXO.” Each year from 2019 to 2023 represents dates from July 1 to
June 30 (for timely insights mid-year).We indexed results to 2019 to showcase five-year growth.

29
29
A special thanks to the co-authors of this report, LinkedIn’s market research
team and data scientists, as well as contributions from extended teams.
Karin Kimbrough, Chief Economist
Mar Carpanelli, Staff Data Scientist
Sharat Raghavan, Sr. Data Science Manager
Akash Kaura, Staff Data Scientist
Murat Erer, Data Scientist
Credits

Artificial intelligence at work (tham khao).pdf

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